Steven Johnson engagement report
@stevenbjohnson - 1.0M followers on X
Measured over 3 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 38 interactions against 1.0M followers, an engagement rate of 0.004%. Posts are seen about 6.7K times each, and 0.568% of those impressions turn into an interaction. That is about 0.642% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 33% link out. The account's strongest tracked post pulled 21K interactions, about 17x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 3 original posts from a 30-day window, last computed on October 25, 2026.
Where this sits in the catalog
At 0.004%, Steven Johnson sits above the 10th percentile of the 204,424 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 08:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 33% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 33% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 122 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Mar 13, 202617x their median
Steve Jobs literally predicted the iPhone, the Internet, AI and the next 50 years of technology in a single speech from 1983: https://t.co/DtwrMJBx1x
- Jun 30, 2026180x their median
Doom scrolling but make it educational 🤓 Introducing Short Video Overviews in NotebookLM! Turn your most complex sources into 60-second, vertical videos that deep dive into any concept. Rolling out now to Google AI Ultra and Pro subscribers on mobile & web (free users soon!) https://t.co/vaOa4ELbw4
- Jun 8, 202669x their median
Introducing a more powerful NotebookLM 🚀 Massive upgrades deliver agentic capabilities in chat, more advanced reasoning, and a suite of new output formats. Tackling complex, multi-step research problems has never been easier. Rolling out now to Google AI Ultra subscribers. https://t.co/zBXD7unIC7
- Apr 16, 20262.2x their median
You can now add custom cover art and descriptions to any of your notebooks 🥳 This is perfect for curating an aesthetic grid or putting a personalized touch on your notebook before sharing it with the world. (We recommend uploading a 16x9 image, specifically of your hero) https://t.co/AxSGXVfdCQ
- Jul 30, 202663x their median
Today, we are officially launching @WonderingApp backed by @ycombinator It’s Duolingo for anything — break down any complex topics, from LLMs to Analytic Philosophy into structured path of short lessons. But it's 10x better than the Duolingo format. Every lesson comes with interactive diagrams, podcasts, and real-world applications, with a thoughtful tutor always ready to help you dive deeper. And it’s all personalized to what you already know and how difficult you want it to be! Wondering is the most delightful way to understand complex topics and turn information into knowledge you can remember and apply. Give Wondering a try here: https://t.co/Xdr1jPWFx8
- Jun 3, 202621x their median
🚨 NEW EXPERIMENT 🚨 Dreambeans is a new, experimental mobile app that uses Personal Intelligence to connect to your Google apps. Every day, it delivers collections of personalized stories, surfacing things you might otherwise miss, alongside topics that are relevant to you, to help you dive deeper into the things you care about most. Available starting today for eligible US-based Google AI Ultra users (+18), with an open waitlist found on our website below! Learn more at https://t.co/jCdAzMHvOD
- Apr 8, 202625x their median
Most Al chatbots give you basic "projects." Gemini just built you a second brain. 🧠 Introducing Notebooks: some of the magic from @NotebookLM, integrated directly into @GeminiApp. Here's what changes for you today: 📚 Upload 100 sources for free 📂 Organize your chats - the wait is officially over :) 🔄 Sources, chats, and emojis sync People are using Gemini and NotebookLM in tandem, and we'll keep building both. To manage capacity, we're rolling this out NOW on the web and going from Ultra ➡️ Pro ➡️ Plus ➡️ Free. (Mobile, EU, and Workspace are up next!) With Google I/O right around the corner, we are just getting started. Enjoy!
- Sep 21, 202642x their median
Live Chat is now 100% rolled out to all Ultra users on mobile 📱✨ Have real-time voice conversations with your notebooks across ~100 languages. Powered by our latest audio models, ask questions about your sources and get step-by-step guidance (almost) completely hands-free. https://t.co/w21RfaiHoe
- Mar 10, 2026
NotebookLM: Do a deep research report and make a video where a consultant gives Sauron a strategy for actually winning the War of the Ring: "All you need to do is sign off to put a simple door on your volcano" The new video generation feature for NotebookLM is very impressive. https://t.co/hpMVMiiDon
- Jul 16, 202622x their median
I have some news. But first a little backstory. Almost exactly four years ago, I drove down to Mountain View for my first day as a Google employee. I was fifty-four years old, and somehow had managed to avoid ever having a proper job over that entire period, other than a few startups that I had founded in my twenties and thirties. At that point Google Labs, which had just been formed a few months earlier, was headquartered in a fairly anonymous looking suburban office park off 101, closer to Office Space than Silicon Valley on the Mike Judge spectrum. And as it happened, my first day at Google was a Monday in the summer of 2022, which meant COVID-era work from home policies were still the default, and the office was absolutely deserted. But I’d been set up with a badge and a computer and I had to schedule a phone call with tech support to get my account in order, and so I grabbed one of the empty cubicles and sat down to work through the problems I was having getting into the system. I remember feeling a definite sense of dread in that moment, sitting there in the silence, thinking: have I made a terrible mistake? And then—and I swear to god this actually happened—the silence was interrupted by a lonely robot rolling its way across the carpet past my borrowed desk. Before the end of the summer, though, an inspiring cast of characters began to populate the office, and by October a small group of us had built a prototype of an AI-first tool for thought that my colleague Adam codenamed Tailwind. About six months later, after @joshwoodward previewed Tailwind at I/O for the first time, we set about to give our little experiment a proper name. We had some branding consultants spend an afternoon with the team; we ideated and free associated and placed our post-it notes on the whiteboard, but all the names that they came back with were too impressionistic, too evocative — they didn’t sound like iconic Google names: Maps, Docs, Meet. Because I’d written so much about the history of journals and commonplace books, I had always been partial to simply calling it Notebook. There was something about that framing that just made sense: a notebook is the place where we capture information that we want to remember, where we gather our thoughts. It gives us a dedicated space for thinking, where new connections happen, where we can trace the evolution of our own ideas. And it had a simplicity that fit the Google house style. But we were far too experimental and unproven to take on a name like Google Notebook—remember we had exactly zero actual users at this point—and so we found ourselves a bit stuck: too early-stage for a proper grownup name, but ill-inclined to adopt a name that didn’t sound like the classic Google brands. But at the time there happened to be another Labs experiment that had just launched called MusicLM, and so at some point in late May of 2023 it occurred to me that we could borrow that convention for our embryonic product, and call it NotebookLM. It wasn’t the most elegant name you could imagine, but it had a certain logic to it: we were building a notebook reinvented for the age of language models, after all. I wrote an email to a few folks proposing the idea and included the caveat that if the product ever took off, and Google wanted to elevate us into the canon, we could drop the LM and just be Notebook. And so that’s the news. Three years and somewhere near a billion notebooks later, we are finally ditching the LM. @Gemini_Notebook
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 38 interactions against 1.0M followers, an engagement rate of 0.004%. Posts are seen about 6.7K times each, and 0.568% of those impressions turn into an interaction. That is about 0.642% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 33% link out. The account's strongest tracked post pulled 21K interactions, about 17x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Steven Johnson's engagement rate on X?
- Steven Johnson (@stevenbjohnson) has an engagement rate of 0.004%, based on the median interactions across 3 original posts from the last 30 days against 1,042,301 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, Steven Johnson sits above the 10th percentile of the 204,424 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @stevenbjohnson have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @stevenbjohnson post?
- Most posts go out around 08:00 UTC, and Thursday is its busiest day, at roughly 0.5 posts per day across the measured window.